The paper discusses the potential of an IoT-based healthcare system for real-time remote monitoring of maternal stress during pregnancy.
May support IoT remote monitoring of maternal stress; leaves open validation of accuracy and clinical outcomes.
There is a major concern about pregnancy-associated stress and anxiety, which are key risk factors for various pregnancy complications involving the health of mother and fetus [13, 14, 24, 32]. Maternal adaptations to decrease the stress level are important to enable a successful pregnancy although various maternal difficulties and environmental stressors can disrupt these adaptations. Several studies have tackled this subject, managing stress level during pregnancy with different medications and techniques [12, 22]. However, to support the conventional clinical methods, a personalized and automated healthcare system is highly required, providing stress monitoring for not only in-hospital environment but also everyday settings. Fortunately, recent advancements in Internet of Things (IoT) technologies have enabled the deployment of remote health monitoring systems in real-time applications, of which patient's health-associated parameters are continuously collected and analyzed to deliver health services.
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Oti et al. (2018) studied this question.
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